4.3 Article

Identifying water factors that are related to ammonia nitrogen concentrations in Columbia River using a reversed hazard exponential model

期刊

RIVER RESEARCH AND APPLICATIONS
卷 38, 期 2, 页码 256-266

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WILEY
DOI: 10.1002/rra.3902

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ammonia nitrogen; Bayesian inference; Columbia River; left-censoring; reversed hazard model; water quality

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The study examined the relationship between ammonia nitrogen concentrations in the Columbia River and factors such as dissolved oxygen, pH, specific conductivity, and temperature. The results suggest that these factors could potentially affect ammonia nitrogen concentrations, which may help authorities in implementing strategies to control water pollution.
Ammonia nitrogen is a compound that in its abundance is related to the inadequate discharge of industrial and domestic effluents. Since high concentrations of ammonia nitrogen can directly affect the water quality or disturb the marine environment, this study examined the ammonia nitrogen concentrations in Columbia River, USA in a fixed period (from January, 2014 to January, 2020) related to some water factors. Some interesting conclusions were obtained in this study as the identification of dissolved oxygen (in mg/L), pH, specific conductivity (in umhos/cm), and temperature (in degrees C) as potential factors affecting the ammonia nitrogen concentrations in Columbia River which may alert authorities to keep restrictive strategies to control the advance of this kind of water pollution. The results of this study could be extended to other regions of the world, especially in more impoverished countries usually with precarious water pollution control systems with implications for public health.

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